| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad | |
| base_model: microsoft/deberta-base | |
| model-index: | |
| - name: microsoft_deberta-base_squad | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # microsoft_deberta-base_squad | |
| This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the **squadV1** dataset. | |
| - "eval_exact_match": 86.30085146641439 | |
| - "eval_f1": 92.68502275661561 | |
| - "eval_samples": 10788 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 3e-05 | |
| - train_batch_size: 12 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.14.1 | |
| - Pytorch 1.9.0 | |
| - Datasets 1.16.1 | |
| - Tokenizers 0.10.3 | |